Leveraging the pervasive deployment of existing WLAN infrastructures [1]}, many works exploit RSS values from WiFi access points for fingerprinting [2]}, including RADAR [3]}, Horus [4]}, and EZPerfect [5]}.
While promising results have been achieved, none of the above works examine the problem related to the varying heights of a smartphone subject to how the user holds the smartphone.
For example, RADAR only considers the different positions with respect to the location grid points; whereas EZPerfect only considers the RSS problem due to different device types.
